Senior Analytics Engineer

About

Are you passionate about building scalable data solutions and supporting creative teams? Our client, a leading company in the music industry, is seeking a Senior Analytics Engineer to support a dynamic new initiative focused on empowering emerging artists. This full‑time contract role is remote within the region and offers an exciting opportunity to shape data infrastructure for a major marketing program.

Position Details

• Contract Length: 4 to 6 months (Temp position)
• Reporting To: Associate Director of Data Science for Spotify for Artists Marketing
• Eligibility: Must work over 30 hours per week on an assignment lasting at least 10 weeks

Responsibilities

• Establish core data infrastructure for a large‑scale artist marketing initiative, transforming raw event data into organized, reliable datasets.
• Design and implement data models to monitor program concepts, segments, and interventions, supporting measurement and audience targeting.
• Develop automated workflows for measurement and insights, integrating AI‑assisted processes and building dashboards for tracking performance and health.
• Build and maintain dependable data pipelines utilizing tools such as dbt and workflow schedulers like Airflow, ensuring high data quality and observability.
• Create reusable data models and tools to support audience management efforts, including email and in‑product targeting systems.
• Collaborate closely with marketing and data science teams to gather requirements, align on instrumentation, and develop scalable data solutions.
• Promote best practices in analytics engineering through testing, documentation, code reviews, CI/CD processes, and data governance standards.
• Develop interactive dashboards and self‑service tools to facilitate faster decision‑making by marketing, partnerships, and content teams.
• Translate live brainstorming and business needs into reliable, scalable data systems with high autonomy.
• Partner with stakeholders to ensure comprehensive event logging and instrumentation for downstream analytics.

Qualifications

• Over 5 years of experience in analytics engineering, data engineering, business intelligence, or data science within fast‑paced environments.
• Hands‑on expertise with dbt, including building modular transformations and dependency management.
• Active experimentation with emerging AI tools and patterns, translating new capabilities into scalable workflows.
• Experience designing hybrid, human‑in‑the‑loop analytics workflows involving stakeholder inputs.
• Proficiency in SQL and handling large, complex datasets.
• Proven ability to develop and maintain production data pipelines using orchestration tools like Airflow, Dagster, or Prefect, along with version control practices.
• Familiarity with cloud data warehouses such as BigQuery, Snowflake, Redshift, or Databricks.
• Ability to build dashboards and visualizations in Looker, Tableau, or similar tools for self‑serve analytics.
• Strong understanding of event tracking and instrumentation to support measurement needs.
• Excellent communication skills, capable of explaining technical decisions to non‑technical stakeholders.
• Organized, proactive, and comfortable managing projects with evolving requirements and collaborating across teams.

Nice to have:

• Experience with marketing analytics, lifecycle or growth marketing.
• Familiarity with creator or music industry products.
• Exposure to data governance and observability tools.

Perks and Benefits

• Medical, Dental, and Vision Insurance
• Life Insurance
• 401(k) Program
• Commuter Benefit
• eLearning and Ongoing Training
• Education Reimbursement

Application

If you meet the qualifications and are excited about this opportunity, apply today! Our team will connect with you to discuss next steps, support you through the interview process, and advocate for your success.